Paper Citation Record · LEDGER

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:1810.01943.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1810.01943 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:13:39.050879Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

268
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation acb5d3a7-a6a6-47f4-86ce-4d467722c149 · inbound

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning cites this paper.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 1

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Source-reported events for the cited work

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Observation 025adaff-bb92-47e3-9769-66f87b1b51fd · inbound

Fairness in Deep Learning: A Computational Perspective cites this paper.

Fairness in Deep Learning: A Computational Perspective AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 43

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Observation 43eafbfe-0eb4-48fe-86e4-7b9178a65abb · inbound

A Survey on Bias and Fairness in Machine Learning cites this paper.

A Survey on Bias and Fairness in Machine Learning AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 10

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Source-reported events for the cited work

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Observation ad11937e-b3b1-4beb-aeba-85277350e7ec · inbound

Differential Parity: Relative Fairness Between Two Sets of Decisions cites this paper.

Differential Parity: Relative Fairness Between Two Sets of Decisions AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 2

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Source-reported events for the cited work

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Observation 2f543b9b-717d-4931-a403-0e4eaf457b2f · inbound

Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction cites this paper.

Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0fab1b14-b961-4ac5-bb17-d49646fbaf68 · inbound

The Explabox: Model-Agnostic Machine Learning Transparency & Analysis cites this paper.

The Explabox: Model-Agnostic Machine Learning Transparency & Analysis AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 4

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Source-reported events for the cited work

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Observation bd2f5631-426e-43df-aff5-675bc634d52d · inbound

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs cites this paper.

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 289

Resolution: unresolved; no resolver link, observed 2026-08-12T05:01:32.682389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad1ae51-b69d-4b53-b338-f53e74001943 · inbound

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases cites this paper.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 3

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Source-reported events for the cited work

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Observation 588cacbc-bfbd-412f-a687-a29ff74326ea · inbound

A Post-Processing-Based Fair Federated Learning Framework cites this paper.

A Post-Processing-Based Fair Federated Learning Framework AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 7

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Source-reported events for the cited work

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Observation ea36753f-cf8f-4527-ba5b-4214d8e6ba1f · inbound

Demographic Benchmarking: Bridging Socio-Technical Gaps in Bias Detection cites this paper.

Demographic Benchmarking: Bridging Socio-Technical Gaps in Bias Detection AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T13:52:58.612733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3167dd40-6b2e-41fd-951f-8dfabae6a7f4 · inbound

Atlas of AI Risks: Enhancing Public Understanding of AI Risks cites this paper.

Atlas of AI Risks: Enhancing Public Understanding of AI Risks AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c53ff44f-c900-4459-ba8f-5e48b4cd4b8a · inbound

General Post-Processing Framework for Fairness Adjustment of Machine Learning Models cites this paper.

General Post-Processing Framework for Fairness Adjustment of Machine Learning Models AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-16T11:13:39.050879Z

Source-reported events for the cited work

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Observation 6a5b4e3f-113f-4f34-b4c2-25c80dfdb016 · inbound

Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching cites this paper.

Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T10:55:05.012337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e06d0ec-82d8-40fc-9df7-11bba6c724a7 · inbound

Should AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users cites this paper.

Should AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:46.940687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e003a50-e27a-4560-8965-e3bf62a9c8d3 · inbound

Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection cites this paper.

Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:25.268510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b20614e-df9d-41fe-a073-8eb2fd7a2fe2 · inbound

Making the Right Thing: Bridging HCI and Responsible AI in Early-Stage AI Concept Selection cites this paper.

Making the Right Thing: Bridging HCI and Responsible AI in Early-Stage AI Concept Selection AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba732ea-63df-4d44-95e8-4228b625752d · inbound

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers cites this paper.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c28b8baa-638e-43f4-8d60-0935735d2505 · inbound

Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation cites this paper.

Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:49.081675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2532275b-48fe-4a95-84c3-6b45bee8c2d9 · inbound

Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data cites this paper.

Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 3

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Source-reported events for the cited work

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Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation) cites this paper.

Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation) AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T04:45:51.131600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5028ac7-b93e-46a3-82b4-25e1a3b506ca · inbound

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing cites this paper.

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T20:07:03.313142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7542e2-9e0c-4d7a-ba1b-971aebdd1d7b · inbound

CaTE Data Curation for Trustworthy AI cites this paper.

CaTE Data Curation for Trustworthy AI AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T18:23:20.597315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a22b835-0d02-4a70-9e86-349e484bad78 · inbound

Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework cites this paper.

Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce21c2a-802f-43ac-9653-b4911fe44f0e · inbound

InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard cites this paper.

InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:53:16.184967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba7cb723-d81e-40ae-aab4-a582ef65442c · inbound

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models cites this paper.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:10:49.012072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dac9dad4-870c-4f38-808f-dfec8f11bea3 · inbound

Towards Reliable Testing of Machine Unlearning cites this paper.

Towards Reliable Testing of Machine Unlearning AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:18.336562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 27089819-02ff-4feb-b251-fe67fc2d5b74 · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-20T14:28:21.481305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c6da752b-3abb-4898-8614-daaecae144d8 · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:05:00.895440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed48d931-143a-4199-97bc-5b661fd1891d · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 127

Resolution: verified exact; local_arxiv, observed 2026-06-28T07:11:45.011634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c202f74d-9702-4012-a8ba-dcb4d820763b · inbound

Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research cites this paper.

Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T13:28:18.911008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb9ea3a3-caf7-4e7e-a97b-f3c87530dc39 · inbound

The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks cites this paper.

The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:09:44.814229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation beaf34d5-cada-4f9f-9ea2-0c8477825c2f · inbound

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data cites this paper.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-04T12:49:51.971094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea9d31cc-a48b-47b0-aae9-b3003b9f5617 · inbound

FairSelect: A Systematic Evaluation of Multi-Level and Intersectional Algorithmic Fairness cites this paper.

FairSelect: A Systematic Evaluation of Multi-Level and Intersectional Algorithmic Fairness AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 20

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Observation 8bfd89f2-5795-42c5-8f3e-381c23f28b54 · inbound

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents cites this paper.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:33.973069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.